Study introduces two Geopython packages improving sedimentary and climatic analysis, suggesting robust tools for researchers.
Disentangling anthropogenic signatures of the Anthropocene and the Great Acceleration from natural Holocene climatic oscillations requires high-resolution datasets and transparent computational workflows. This study introduces a “Geopython” ecosystem consisting of two original open-source applications: EssefiSedInterpreter and EssefiCyclo. EssefiSedInterpreter automates sedimentological characterization by integrating image-based morphoscopy (utilizing “Solidity” as a rigorous proxy for grain rugosity) and End-Member Mixing Analysis (EMMA) via Non-Negative Least Squares (NNLS) optimization. Performance validation against industry-standard FRITSCH laser granulometry across 11 samples from Bizerte Lagoon demonstrated a high degree of fidelity, with an average relative error of only 3.06%. EssefiCyclo effectively isolated the non-stationary industrial surges of the Chaffar exoreic system, identifying underlying solar (Schwabe, Hale, Suess), atmospheric (NAO, Mediterranean Oscillation), and oceanographic (AMO) cycles. This integrated ecosystem provides a robust, auditable alternative to proprietary “black-box” software, empowering researchers to transform noisy stratigraphic records into genetically meaningful paleoenvironmental histories. Furthermore, the tool addresses the “geochronological gap” in environments where radiometric dating is sparse. By applying Lomb-Scargle periodograms and a novel “Inverse Cyclostratigraphy” module, the software tunes stratigraphic depth to global deterministic clocks. Applying this to a 78-cm core from Sebkha Mhabeul (380 samples at 2-mm resolution), the tool successfully identified an optimal sedimentation rate of 6.58 years/sample. This enabled the construction of a continuous 2500-year age model, capturing distinct climatic intervals including the Little Ice Age, the Medieval Climate Anomaly, and the Roman Warm Period.
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Zarai et al. (2026) studied this question.
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